Loading...
Please wait a moment
Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
Which format do you prefer?
30 free minutes with a training advisor — no commitment.
Loading available slots...
Master influence and persuasion skills for 2026 with proven strategies, emerging tech, and practical exercises tailored for professional growth in a dynamic world.
Cybersecurity training in Oklahoma City in December 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in Memphis in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Cybersecurity training in Sheffield in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
The Training: Master Cloud Speech-to-Text: Develop Speech Recognition Applications in the Cloud training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training: Master Cloud Speech-to-Text: Develop Speech Recognition Applications in the Cloud training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training: Master Cloud Speech-to-Text: Develop Speech Recognition Applications in the Cloud training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Introduction to speech recognition: history, uses, and challenges (accessibility, automation, customer support). Discovery of the Cloud Speech-to-Text service (Google, Azure, AWS): differences, strengths. Creation and configuration of a cloud account, billing and quota management. Basic security on the platform. First transcription test with simple audio files (guided practical exercise).
Principles of REST and gRPC APIs for speech recognition. Authentication and access security. Configuring transcription options (language, encoding, enhanced recognition, automatic punctuation, etc.). Transcription of audio files and real-time streams. Error handling and debugging. Integration of the API into a Python application (provided examples).
Improve result accuracy: model adaptation (Custom Classes, Phrase Hints), handling accents and background noise. Business case studies (call centers, medical transcription, multilingual meetings). Advanced scenarios: streaming transcription, video synchronization, automatic subtitling. Automation of transcription scripts. Evaluation, feedback, deployment advice at scale (scalability, monitoring).
Target audience
Developers, Data Engineers, IT professionals wishing to integrate automatic speech recognition into their applications or services
Prerequisites
Basic programming knowledge (Python or equivalent), basics of Web APIs
Loading...
Please wait a moment





























